Consensys
Senior Analytics Engineer
NEWUNITED STATES, CANADA, LATAM, ...Full-timeGlobal
š° USD 156,000 - 187,000/yr
š Midš Remote
ActivePosted within the last 30 days
Job Description
[AI-summarized by JobStash]
You will design, build, and maintain reliable data models and dbt transformations to turn raw data into business-ready datasets. You will collaborate with analysts, data scientists, and stakeholders to define KPIs, metrics, and semantic layers. You will ensure data quality, governance, and documentation, and create dashboards and reports that enable data-driven decisions. You will write efficient SQL, work with cloud data warehouses, and partner with data engineers to keep pipelines performant and reliable.
Requirements
- āOver 6 years of experience as an Analytics Engineer
- āPrevious experience developing and tracking KPIs for public companies
- āExpert-level SQL skills with experience writing complex queries and optimizing performance
- āHands-on experience with dbt for data transformation and modeling
- āStrong understanding of data modeling concepts such as star schema, snowflake schema, and dimensional modeling
- āFamiliarity with BI and dashboarding tools such as Looker, Superset, Tableau, or Power BI
- āExperience defining KPIs and metrics for business stakeholders
- āComfort with Python or other scripting languages for lightweight data transformations and automation
- āKnowledge of data governance, lineage, and documentation tools such as DataHub or Great Expectations
- āUnderstanding of cloud data warehouses such as Snowflake, BigQuery, or Redshift
- āExperience with version control and CI/CD practices in analytics workflows such as GitHub Actions
Responsibilities
- āDesign, build, and maintain reliable data models that transform raw data into business-ready datasets
- āCollaborate with analysts, data scientists, and business stakeholders to translate requirements into metrics and dashboards
- āDevelop and maintain metrics definitions, semantic layers, and data documentation
- āBuild, optimize, and test dbt models to deliver clean and trusted data
- āEnsure data quality, accuracy, and governance are embedded in models and pipelines
- āCreate dashboards, reports, and visualizations to empower business users
- āWrite efficient SQL queries and maintain performant models
- āPartner with data engineers to ensure smooth data ingestion and availability
- āContinuously improve analytics processes and workflows for scalability and reliability
Benefits & Perks
- āComprehensive competitive benefits package
- āEquity
- āContinuous learning and opportunities including full access to Coursera via the Consensys Advance Program
- āUnlimited vacation/holidays
- āFlexible working arrangements
- āRemote first
Tech Stack
dashboardmetricSnowflakeRedshiftBigQueryGitHub ActionsTableaudata qualitymetrics layerdata pipelineproject:Mask Network